Verlagslink DOI: 10.1016/j.jbusres.2016.06.007
Titel: Estimation issues with PLS and CBSEM: where the bias lies!
Sprache: English
Autor/Autorin: Sarstedt, Marko 
Hair, Joseph F. 
Ringle, Christian M. 
Thiele, Kai Oliver 
Gudergan, Siegfried 
Schlagwörter: common factor models;composite models;reflective measurement;formative measurement;structural equation modeling;partial least squares
Erscheinungsdatum: 25-Jun-2016
Verlag: Elsevier
Quellenangabe: Journal of Business Research 10 (69): 3998-4010 (2016)
Zeitschrift oder Schriftenreihe: Journal of business research 
Zusammenfassung (englisch): Discussions concerning different structural equation modeling methods draw on an increasing array of concepts and related terminology. As a consequence, misconceptions about themeaning of terms such as reflective measurement and common factor models as well as formative measurement and composite models have emerged. By distinguishing conceptual variables and their measurement model operationalization from the estimation perspective,we disentangle the confusion between the terminologies and develop a unifying framework. Results from a simulation study substantiate our conceptual considerations, highlighting the biases that occur when using (1) composite-based partial least squares path modeling to estimate common factor models, and (2) common factor-based covariance-based structural equation modeling to estimate composite models. The results show that the use of PLS is preferable, particularly when it is unknown whether the data's nature is common factor- or composite-based.
URI: http://tubdok.tub.tuhh.de/handle/11420/1817
DOI: 10.15480/882.1814
ISSN: 0148-2963
Institut: Personalwirtschaft und Arbeitsorganisation W-9 
Dokumenttyp: (wissenschaftlicher) Artikel
Enthalten in den Sammlungen:tub.dok

Dateien zu dieser Ressource:
Datei Beschreibung GrößeFormat
1-s2.0-S0148296316304404-main.pdfVerlags-PDF815,65 kBAdobe PDFÖffnen/Anzeigen
Zur Langanzeige

Seitenansichten

3
checked on 17.11.2018

Google ScholarTM

Prüfe

Export

Alle Ressourcen in diesem Repository sind urheberrechtlich geschützt.